One Scenario in Which Joint Modeling Is Unnecessary

• Activity Number: 283
• Type: Topic Contributed
• Date/Time: Tuesday, August 3, 2010 : 8:30 AM to 10:20 AM
• Sponsor: Biopharmaceutical Section
• Author(s): Joel A. Dubin*+ and Xiaoqin Xiong
• Companies: University of Waterloo and University of Waterloo
• Keywords: binning ; generalized linear mixed effects model ; longitudinal model ; smoothing ; time-varying covariate ; zero-inflated modeling

Abstract

There are many scenarios when analyzing a time-varying covariate and survival response to consider joint modeling. However, if one's goal is to consider the association, possibly lagged, between a time-varying covariate and a recurrent event survival response, then an alternative method is to employ a binning-based smoothing step before applying a more traditional model for generalized longitudinal response data. In this talk, we discuss the binning method, why it was used over a joint model in a nephrology application of interest, and the useful interpretation of the results from this application. Time permitting, we will also discuss some simulation results, providing guidelines on when this binning approach will (and will not) be useful.